Research Scholar

Toronto, Palo Alto, San Francisco, London /
Cohere For AI – Research /
Intern/Apprenticeship, Remote
Who are we?
We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

Cohere For AI is the dedicated non-profit arm of Cohere. The Cohere For AI research lab seeks to solve complex machine learning problems by supporting fundamental research that explores the unknown. We are focused on creating more points of entry into machine learning research because we believe technology is powerful, and empowering different perspectives ensures responsible innovation.

The Cohere For AI Scholars Program is an 8-month, full-time research apprenticeship. The Scholars Program runs from January 9 - August 25, 2023. This program pairs aspiring machine learning researchers with an outstanding engineering team to collaborate on innovative machine learning research projects. Scholars will have the support of an experienced research team and access to cutting-edge AI technology as they contribute to projects at the forefront of machine learning research.

We encourage applications from a wide range of backgrounds, regardless of previous academic experience or publication record.

As a Research Scholar, you will:

    • Collaborate with the Cohere engineering team on machine learning and natural language processing research projects, with the goal of releasing published papers or open source code.
    • Contribute to the advancement of meaningful scholarship in the machine learning and natural language processing space

You may be a good fit:

    • You have a strong engineering background, as demonstrated by regular contributions to open source projects, past work experience, or a portfolio
    • You have not yet published research in machine learning–we want to support new, upcoming talent
    • Strong communication and problem-solving skills
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.

Our Perks:
🤝 An open and inclusive culture and work environment 
🧑‍💻 Work closely with a team on the cutting edge of AI research 
🍽 Free daily lunch 
🦷 Full health and dental benefits, including a separate budget to take care of your mental health 
🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
✈️ 6 weeks of vacation and shared Canada/US/UK holidays